{"id":"W4402053982","doi":"10.1061/joeedu.eeeng-7691","title":"Field Study of Generation and Emission of Hydrogen Sulfide in a Sanitary Sewer Network Downstream of a Long Forcemain","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hydrogen sulfide; Sanitary sewer; Downstream (manufacturing); Environmental science; Environmental engineering; Field (mathematics); Environmental chemistry; Waste management; Chemistry; Engineering; Sulfur","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066943,0.0003894349,0.0003049131,0.0005070896,0.001115482,0.0002988358,0.0005538809,0.0004142987,0.0005626836],"category_scores_gemma":[0.0001901067,0.0002152347,0.0001786554,0.0005113729,0.0006253371,0.0002237047,0.0002498078,0.0003028873,0.00008926614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911088,"about_ca_system_score_gemma":0.001828164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.204393,"about_ca_topic_score_gemma":0.3798726,"domain_scores_codex":[0.9998257,0.00001460664,0.000004474006,0.00005135256,0.00005782927,0.00004610494],"domain_scores_gemma":[0.999741,0.00004036545,0.00003448882,0.000009746935,0.0001103217,0.0000640612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001078643,0.001779129,0.494434,0.0001791972,0.00005136599,0.004075425,0.006095228,0.004207951,0.4671797,0.0002644288,0.0004076937,0.02024724],"study_design_scores_gemma":[0.00006359753,0.002949866,0.9505177,0.00001646251,0.00003020668,0.0002211388,0.005149045,0.007549683,0.03218548,0.00007524392,0.001211341,0.0000303602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996994,0.000004635682,0.0000898464,0.00000462989,5.347953e-7,0.00001313251,0.00002304662,0.000005745847,0.0001591715],"genre_scores_gemma":[0.9984762,0.0000187887,0.000633662,0.000006929653,0.000001194013,0.00001478669,0.00008108206,0.000001372878,0.0007659598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.204393,"threshold_uncertainty_score":0.4064066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006186214321078238,"score_gpt":0.2011612539344226,"score_spread":0.1949750396133443,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}